ENG_NER_NEL_mabarros | | | 452 | | mabarros | 2023-12-01 | Developing | |
ENG_NER_NEL_Diana | | | 461 | | dpavot | 2023-11-29 | Uploading | |
ENG_NER_NEL_CONSENSUS | | | 607 | | dpavot | 2023-11-28 | Developing | |
ENG_NER_NEL | | Annotations in COVID-19 related PubMed abstracts from the following ontologies: Disease Ontology ("do"), Gene Ontology ("go"), Human Phenotype Ontology ("hpo"), ChEBI ontology ("chebi"), MeSH
| 493 | LASIGE-DeST | pruas_18 | 2023-11-26 | Developing | |
EDAN70 | | NLP tagging of articles concerning covid19. | 0 | | fettmedknaoz | 2023-11-29 | | |
EDAM-topics | | annotation for EDAM topics | 11.6 K | | Jin-Dong Kim | 2023-11-29 | Testing | |
EDAM-DFO | | annotation for EDAM terms for data, formats, and operations | 12.5 K | | Jin-Dong Kim | 2023-11-29 | Testing | |
EC-Neurodegenerative | | Alternative methods to animal experiments for neurodegenerative diseases. | 0 | | zebet | 2023-11-30 | Developing | |
DocumentLevelAnnotationSample | | A sample project for document level annotation | 47 | | Jin-Dong Kim | 2023-11-29 | Testing | |
DLUT931 | | DLUT NLP Lab.Test our event extration result for 16 GE task. | 4.57 K | | DLUT931 | 2023-11-30 | Testing | |
DisGeNET5_variant_disease | | The file contains variant-disease associations obtained by text mining MEDLINE abstracts using the BeFree system, including the variant and disease off sets. | 144 K | IBI Group | Yue Wang | 2023-11-24 | Released | |
DisGeNET5_gene_disease | | The file contains gene-disease associations obtained by text mining MEDLINE abstracts using the BeFree system including the gene and disease off sets. | 2.04 M | IBI Group | Yue Wang | 2023-11-24 | Released | |
DisGeNet-2017-sample | | | 2.93 K | | Jin-Dong Kim | 2023-11-29 | Testing | |
DisGeNET | | Disease-Gene association annotation. | 3.12 M | Nuria Queralt | Jin-Dong Kim | 2023-11-24 | Beta | |
disease_ontology_term_microbe | | | 5 | | evangelos | 2023-11-29 | Developing | |
Disease_Markers | | | 0 | | Sophie Nam | 2023-11-29 | | |
disease_gene_microbe_small | | Small version (48 abstract that mention both Crohns and S. aureus) for development purposes
Abbreviation: dgm Content: annotated abstracts on Crohn’s disease or on on Staphylococcus aureus (according to the jensenlab.org indexing resources) Entity types: (three for a start, organisms (NCBI Taxonomy taxa), disease (Disease Ontology terms), human genes (ENSEMBL proteins) Aim: Explore indirect associations of diseases to microbial species in this corpus via gene co-mentions | 536 | | evangelos | 2023-11-27 | Testing | |
demo4TogoSite | | | 323 | | AikoHIRAKI | 2023-11-26 | Developing | |
dailymed_spl | | Annotation of indications from DailyMed structured product labels | 0 | | micheldumontier | 2023-11-29 | Developing | |
CyanoBase | | Cyanobacteria are prokaryotic organisms that have served as important model organisms for studying oxygenic photosynthesis and have played a significant role in the Earthfs history as primary producers of atmospheric oxygen.
Publication: http://www.aclweb.org/anthology/W12-2430 | 1.1 K | Kazusa DNA Research Institute and Database Center for Life Science (DBCLS) | Yue Wang | 2023-11-26 | Released | |